Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7
Geekbench AI Score
6867
Single Precision Score
9992
Half Precision Score
14762
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 08:45 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4193
779.8 IPS |
|
|
Image Classification (HP)
|
100% |
6971
1.30 KIPS |
|
|
Image Classification (Q)
|
56% |
6402
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5438
88.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2974
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3996
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8166
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
34644
40.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
75824
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
3902
309.5 IPS |
|
|
Object Detection (HP)
|
100% |
5885
466.8 IPS |
|
|
Object Detection (Q)
|
87% |
10019
804.1 IPS |
|
|
Face Detection (SP)
|
100% |
11936
141.8 IPS |
|
|
Face Detection (HP)
|
100% |
17694
210.2 IPS |
|
|
Face Detection (Q)
|
100% |
30016
356.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10234
78.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19777
152.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
36285
282.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24801
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54495
70.1 IPS |
|
|
Style Transfer (Q)
|
98% |
100524
129.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5114
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14485
534.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26365
976.4 IPS |
|
|
Text Classification (SP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1928
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
1943
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5129
88.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4409
76.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4511
77.7 IPS |
